Design of PID Fuzzy Controller for Electric Vehicle Brake Control System Based on Parallel Structure of PI Fuzzy and PD Fuzzy

Sugisaka, Masanori; Mbaïtiga, Zacharie

doi:10.1541/ieejias.125.245

Cited by 3 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is also applicable to distributed-drive electric vehicles with brake-by-wire systems. The authors in [20] studied the stability of the hub motor of distributed-drive electric vehicles after braking failure and used fuzzy PI and fuzzy PD controllers of parallel operation to adjust the braking force of vehicles to ensure the normal running track of distributed vehicles after the failure of the hub motor. Most of the above studies only considered the case of complete failure of a single wheel of the BBW system vehicle, and when the vehicle brake fails but not completely, if the braking force of the faulty wheel is directly set to zero, it will cause the difference in braking torque between the left and right sides of the vehicle to be too large and result in a large lateral offset of the vehicle [21].…”

Section: Introductionmentioning

confidence: 99%

Single-Wheel Failure Stability Control for Vehicle Equipped with Brake-by-Wire System

Zhou

Miao

2023

WEVJ

View full text Add to dashboard Cite

In order to solve the problem of vehicle stability control after a single-wheel brake failure in the brake-by-wire system, a control strategy of braking force redistribution with a yaw moment is proposed to ensure the braking efficiency and stability of vehicles. In this strategy, a two-layer architecture is adopted. In the upper layer control, a fault factor is introduced to represent the real-time failure degree of the wheel, and the driver’s braking intention is perceived through the pedal travel and pedal speed of the driver. The braking force redistribution algorithm of the remaining three wheels is designed based on the wheel failure degree and braking intensity. In the lower control, according to the state parameters of the vehicle, the additional yaw moment, which controls the yaw rate and the sideslip angle of the vehicle, is calculated by using the sliding mode control theory, and the yaw moment is reasonably allocated to the normal wheel. By using MATLAB/Simulink and Carsim co-simulation, different braking strength and failure types are selected for simulation analysis. The simulation results show that the proposed control strategy can improve the braking efficiency and stability of the vehicle under different braking conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Single-Wheel Failure Stability Control for Vehicle Equipped with Brake-by-Wire System

Zhou

Miao

2023

WEVJ

View full text Add to dashboard Cite

show abstract

Braking failure anti-rollover control and hardware-in-the-loop verification of wire-controlled heavy vehicles

Zheng,

Lu,

Wang

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Considering the fault tolerance of EMB (Electro-Mechanical-Brake) braking failure and anti-rollover control at the same time is one of the urgent problems to be solved in the driving safety of X-by-wire vehicles. Accurate rollover index is a key part of anti-rollover control. Aiming at the problem that the traditional rollover index reflects that the unsprung mass of the vehicle is insufficiently affected by road excitation, a tripped vehicle rollover dynamic model is established based on single-wheel braking failure, and a rollover evaluation index NLTR (New Load-Transfer-Rate) suitable for braking failure is proposed. In order to improve the lateral safety of the vehicle when the line control fails, a hierarchical anti-rollover controller based on road adhesion coefficient identification, SM-ABS (Sliding-Mode-ABS) control and DBR (Differential-Braking-Redistribution) control is designed. Taking the rollover index threshold as the controller trigger condition, the controller effects under NLTR, traditional RI2 and standard LTR indicators are compared respectively. Simulation and HIL test show that the traditional index controller has failure risk under extreme conditions. The designed NLTR index controller can accurately evaluate the rollover risk of the vehicle, control the vehicle in time, and improve the vehicle stability by 68.18% under Fish-Hook condition.

show abstract

Fault Compensation Control for Regenerative Braking of Distributed Drive Electric Vehicle Based on Hierarchical Control

Fang,

Zhao,

et al. 2023

SAE Technical Paper Series

View full text Add to dashboard Cite

<div class="section abstract"><div class="htmlview paragraph">For distributed drive electric vehicles (DDEV) equipped with an electronic hydraulic braking system (EHB) and four-wheel hub motors, when one or more hub motors have regenerative braking failure, because the braking torque of the four wheels is inconsistent, additional yaw moment will be formed on the vehicle, resulting in the loss of directional stability of the vehicle during braking. If it occurs at high speeds, it will further threaten driving safety. To solve the above problems, a new hierarchical control architecture is established in this paper. Firstly, taking DDEV as the research object, the vehicle dynamics model and EHB braking system model are built. Then, a state observer based on an adaptive Kalman filter is designed in the upper layer to estimate the vehicle’s sideslip angle and yaw rate in real time. In the judgment decision-making layer, the phase plane is used to divide the stability domain boundary of the vehicle, and the quasi-stability tolerance band judges the vehicle’s driving state. Secondly, the lower stability controller is constructed based on the sliding mode control theory. EHB can flexibly distribute hydraulic braking force to compensate for the vehicle’s braking force, offset the additional yaw moment, and maintain the straight line of the vehicle. Finally, experimental verification is carried out in Matlab/ CarSim and hardware-in-the-loop (HIL) platforms. The results show that the proposed method can effectively predict the state and closed-loop stability control of DDEV, and reduce the deviation distance caused by regenerative braking failure, effectively ensuring the vehicle in the event of regenerative braking failure driving safety.</div></div>

show abstract

Design of PID Fuzzy Controller for Electric Vehicle Brake Control System Based on Parallel Structure of PI Fuzzy and PD Fuzzy

Cited by 3 publications

References 9 publications

Single-Wheel Failure Stability Control for Vehicle Equipped with Brake-by-Wire System

Single-Wheel Failure Stability Control for Vehicle Equipped with Brake-by-Wire System

Braking failure anti-rollover control and hardware-in-the-loop verification of wire-controlled heavy vehicles

Fault Compensation Control for Regenerative Braking of Distributed Drive Electric Vehicle Based on Hierarchical Control

Contact Info

Product

Resources

About